Michael F. Wangler
- Molecular Biology top 10%
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Clinical Biochemistry top 2%
- Epidemiology
- Co-authors
- Hugo J. BellenShinya YamamotoMichael R. DeBaunAndrew P. FeinbergAimee S. ChangKelle H. MoleyAnn B. MoserNancy Braverman
- Topics
- Genomics and Rare Diseases (15 papers)Peroxisome Proliferator-Activated Receptors (15 papers)Genetics and Neurodevelopmental Disorders (10 papers)
- Cited by
- AgingClinical BiochemistryGenetics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENature Reviews Genetics
- Partner nations
- United StatesCanadaChina
In The Last Decade
Michael F. Wangler
60 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.0k
- Genetics 526
- Pediatrics, Perinatology and Child Health 288
- Clinical Biochemistry 202
- Epidemiology 176
Countries citing papers authored by Michael F. Wangler
This map shows the geographic impact of Michael F. Wangler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael F. Wangler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael F. Wangler more than expected).
Fields of papers citing papers by Michael F. Wangler
This network shows the impact of papers produced by Michael F. Wangler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael F. Wangler. The network helps show where Michael F. Wangler may publish in the future.
Co-authorship network of co-authors of Michael F. Wangler
This figure shows the co-authorship network connecting the top 25 collaborators of Michael F. Wangler. A scholar is included among the top collaborators of Michael F. Wangler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael F. Wangler. Michael F. Wangler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 49 | |
| 8 | 7 | |
| 9 | 13 | |
| 10 | 26 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 43 | |
| 14 | 32 | |
| 15 | 27 | |
| 16 | 49 | |
| 17 | 124 | |
| 18 | 2 | |
| 19 | 54 | |
| 20 | 152 |
About Michael F. Wangler
Michael F. Wangler is a scholar working on Clinical Biochemistry, Genetics and Molecular Biology, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (15 papers), Peroxisome Proliferator-Activated Receptors (15 papers) and Genetics and Neurodevelopmental Disorders (10 papers). The work is most often cited by research in Aging (93 citations), Clinical Biochemistry (202 citations) and Genetics (526 citations). Michael F. Wangler has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Hugo J. Bellen, Shinya Yamamoto, Michael R. DeBaun, Andrew P. Feinberg, Aimee S. Chang, Kelle H. Moley, Ann B. Moser, Nancy Braverman, Hsiao‐Tuan Chao and Mousumi Bose. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Reviews Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.